2021:Unconference/Wikimedia Research Community Session
Wikimedia Research is a team of scientists and engineers using data to understand and empower millions of readers and contributors who interact with Wikipedia and its sister projects on a daily basis.
We are running an unconference session to connect with community members who are interested in learning more about our work and / or conducting their own research on Wikimedia projects. Session notes (etherpad)
We have three research programs:
- Address knowledge gaps:
- We are building a Knowledge Gaps Index, which can help understand the extent of knowledge gaps across Wikimedia projects through quantifiable evidence.
- We work on building algorithms for Structured Tasks , such as the Link Recommendation Algorithm, and the Image Suggestion Algorithm
- We prototype metrics to define article importance, such as Misalignment (distance between article quality and article popularity)
- We work on understanding readers' motivations, navigation patterns, and image usage.
- Improve knowledge integrity
- Conduct foundational work
We are generally interested in (random order):
- Metrics and indicators to support Knowledge Equity and Knowledge Integrity
- Machine learning technologies for automated content tagging (images and text)
- Fair and inclusive Recommender Systems
- Structured Data Challenges
- Growing a community of Wikimedia researchers
- Open research datasets
- Understanding controversial content
- Challenges of fact checking using Wikimedia data
- Wikimedia data reuse outside our sites
- How readers use, navigate and learn through Wikipedia
- Large-scale data analysis to understand and serve Wikimedia communities
Please add your wikipedia username below! You're also welcome to add any questions / topics you would like to discuss. We look forward to seeing you!